[R] question regarding basic stat question

Daniel Harris mail.dharris at googlemail.com
Tue Feb 22 17:10:39 CET 2011


Thanks for the replies

The file is below

Height	Frequency
62	3
63	20
64	24
65	40
66	85
67	122
68	139
69	179
70	139
71	107
72	55
73	47
74	22
75	12
76	5
77	1

I use the following

data <- read.table("file",header=T)
attach(data)
summary(data)

gives 2 summary fields height and frequency

I want 1 based on height with frequency taken into account.

If I do

long <- as.data.frame(lapply(data, function(x) rep(x, Frequency)))
long[,1]
summary(long)

The first column gives the answer that I am looking for but I just
thought their maybe a better way without using the long variable

Thanks
Dan

On Tue, Feb 22, 2011 at 1:32 PM, Bryan Hanson <hanson at depauw.edu> wrote:
> Daniel, how is the data stored?  The answer to your question may be as
> simple as
>
>> df <- read.csv("filename.csv")
>> summary(df)
>
> See ?read.csv for info on reading various file formats.
>
> HTH, Bryan
> ****************
> Prof. Bryan Hanson
> Dept of Chemistry & Biochemistry
> DePauw University
> 602 S. College Ave
> Greencastle IN 46135 USA
>
> On Feb 22, 2011, at 7:20 AM, Daniel Harris wrote:
>
>> Hello
>>
>> Is it possible to get summary statistics (inc mean, sd etc) from a
>> text file that has the following info stored in it?
>>
>> Height             Frequency
>>
>> 123                  5
>> 124                  8
>> 125                  3
>> 126                  9
>> 127                  7
>>
>> etc                   etc
>>
>> Now I know I can convert the file to a single list outside of R using
>> python etc and I can convert the file to a single list inside R using
>> a series of (what I find) complicated commands.
>>
>> Is there a simple way of doing summary(Height,Frequency)
>>
>> Thanks in advance
>> Dan
>>
>> ______________________________________________
>> R-help at r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>
>



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